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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9397
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    Explanations

    terms related to engraved or etched markings, particularly when the value is high

    oai_token-act-pair · gpt-3.5-turbo

    terms that end with the suffix "ings"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     earthqu
    -0.85
    vier
    -0.79
    isons
    -0.72
    SIGN
    -0.72
    WATCH
    -0.70
    ison
    -0.68
    ISION
    -0.67
    ãĥ¯ãĥ³
    -0.65
    charging
    -0.60
    apons
    -0.60
    POSITIVE LOGITS
    tons
    1.12
    hots
    1.07
    omething
    1.01
    creen
    0.95
    pace
    0.92
    hot
    0.92
    mith
    0.87
    cape
    0.85
    manship
    0.85
    paces
    0.82
    Activations Density 0.074%

    No Known Activations